Lead Product Manager - Data Supply and Management

As a Lead Product Manager, you will evolve and lead the product vision, strategy and delivery for Data Management and Data Apps, including capabilities such as Ingestion, Data Discovery (cataloguing and metadata), Data Quality, Lineage, Personal Data Management and Governance.

Your products will enable teams across Tesco to supply, discover, understand, trust, and govern data effectively, supporting analytics, AI, and critical operational use cases. This role requires strong product leadership across a broad and complex stakeholder landscape, with accountability for shaping strategy, setting priorities and delivering measurable outcomes across a sophisticated data product domain.

We're all about the little helps. That's why we make sure our Tesco colleague benefits package takes care of you - both in and out of work. Click Here to find out more!

• Annual bonus scheme of up to 20% of base salary.
• Holiday starting at 25 days plus a personal day (plus Bank holidays).
• Private medical insurance.
• 26 weeks maternity and adoption leave (12 months service required at the qualifying date) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave.
• Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing.

The above information is a shortened summary, refer to our policies for full details

· Define and own the product vision, strategy and roadmap, ensuring alignment with business goals and customer experience objectives.

· Prioritise work and decisively resolve trade-offs with peers and senior leaders to maximise business value.

· Translate complex business challenges into innovative, data-driven solutions that improve colleague productivity.

· Effectively document and explain new requirements to engineering teams using user stories with acceptance criteria and help break down complex work into smaller, deliverable chunks for faster delivery.

· Steer sprint and release planning sessions with engineering counterparts to plan iterations that deliver maximum business value with minimal effort.

· Prioritise, coordinate, and communicate the resolution of live product issues independently.

· Provide product-led, data platform and data asset management, assuring the supply of quality data and metadata for value creation by multiple stakeholders.

· Build and nurture a high-performing team of Product Managers based on business needs and strategic priorities.

· Empower and develop your team to continually deliver value, fostering a culture of inclusion, innovation and continuous learning.

· Support recruitment, onboarding, and targeted upskilling initiatives to develop expertise in product management and emerging technologies.

· Provide leadership and direction to cross functional teams on short term tasks and mid / long term priorities.

· Identify and remove challenges faced by the team by working with your Head of Product and other stakeholders, proactively flagging risks or delays.

· Ensure Data & AI products adhere to governance, security and ethical standards.

· Appraises and analyses customer research results to influence product outcomes and strategic goals.

· Maintains excellent stakeholder relationships and facilitates cross-functional alignment on product direction.

· Understands how diverse personas or customer groups perceive, interpret and experience products in different ways.

· Applies UX/UI disciplines and principles to product design, ensuring intuitive and customer-friendly interaction.

· Develops hypothesis statements and collaborates with engineers to set up and execute experiments.

· Understands AI productivity technology systems and monitors health metrics.

· Engages in market research, leveraging insights to shape product vision and strategic direction aligned with business, technology goals and customer expectations.

· Utilises various data types appropriately, knowing when to apply quantitative and/or qualitative data.

· Applies knowledge of the Product Management lifecycle, delivery processes, and Agile principles to discover, design, define, develop and deliver incremental opportunities that drive growth and value.

· Recognises the importance of data-driven prioritisation and maintains a consistent approach to prioritisation.

· Uses company approved tools to produce and update product roadmaps.

· Understands the role of product roadmaps in creating stakeholder and team alignment.

· Possesses strong business acumen, including knowledge of key commercial drivers, business metrics, and measuring value of productivity gains.

· Experienced in evaluating tool suitability and maintaining an awareness of relevant product capabilities available in the market.

· Highly numerate with a university degree (2:1 or higher) in a quantitative discipline or equivalent relevant experience.